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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-14 14:21:04</p>
            <p>spark.kmedoids.eval.spam.TestCase : -r Dropbox/eurecom-cluster/results/ -d spam-subject-200K.txt -s 200000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.spam.ClaransTest</li>
                                    <li>spark.kmedoids.eval.spam.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.spam.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100327-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127291.65820657843</td>
                                                <td>113504</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>129171.39747789543</td>
                                                <td>109096</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127620.06111959075</td>
                                                <td>114664</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>128475.1960763075</td>
                                                <td>88018</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>126431.81023367637</td>
                                                <td>97908</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127866.53664068242</td>
                                                <td>100936</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127282.13180699412</td>
                                                <td>104424</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127606.36617657582</td>
                                                <td>99124</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>128350.55209259842</td>
                                                <td>108018</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127924.64700565627</td>
                                                <td>113100</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>125189.47967523053</td>
                                                <td>108648</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>128038.69769838873</td>
                                                <td>107874</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127245.44578473829</td>
                                                <td>120253</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127781.46985064591</td>
                                                <td>106849</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>128599.18495000947</td>
                                                <td>103448</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127587.47740422844</td>
                                                <td>105682</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127538.75934649051</td>
                                                <td>103573</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127597.6860178725</td>
                                                <td>110796</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>127720.66420472079</td>
                                                <td>105095</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>128008.16654910341</td>
                                                <td>102347</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127669.76429451581</td>
                                                <td>105622</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>126727.5114198774</td>
                                                <td>107699</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127593.80141632153</td>
                                                <td>103376</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>128534.44363047392</td>
                                                <td>101508</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>128130.32424350575</td>
                                                <td>101193</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127933.6456281663</td>
                                                <td>113642</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127860.55723887598</td>
                                                <td>108798</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127550.61283324809</td>
                                                <td>103098</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127090.50427023882</td>
                                                <td>95433</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127726.40309598272</td>
                                                <td>95507</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>128257.38875630486</td>
                                                <td>102805</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>128071.82990563966</td>
                                                <td>102514</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127691.92480948195</td>
                                                <td>111580</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127945.20666248894</td>
                                                <td>113863</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127580.79903095037</td>
                                                <td>113983</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127240.54533138253</td>
                                                <td>90707</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>128734.88615653708</td>
                                                <td>95176</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127743.84174603615</td>
                                                <td>101404</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127713.94569609291</td>
                                                <td>98968</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>127096.77274511568</td>
                                                <td>118545</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127444.77868651343</td>
                                                <td>94881</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127812.30990744702</td>
                                                <td>95779</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127510.8356531128</td>
                                                <td>99450</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127766.69242492138</td>
                                                <td>92473</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>126755.43135837352</td>
                                                <td>93795</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127173.1212393213</td>
                                                <td>106656</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127587.76814271229</td>
                                                <td>102317</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>128197.00700899643</td>
                                                <td>102673</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>128262.73988209602</td>
                                                <td>105345</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127247.25219014172</td>
                                                <td>106807</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>128092.9849216766</td>
                                                <td>101545</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127080.68360866867</td>
                                                <td>103302</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127170.85444788043</td>
                                                <td>101602</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127481.64689829115</td>
                                                <td>107078</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>128284.39283117739</td>
                                                <td>105826</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127566.98606849351</td>
                                                <td>115792</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127317.18288813176</td>
                                                <td>97150</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127439.31010827865</td>
                                                <td>98719</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>128019.86431054614</td>
                                                <td>99469</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>127528.66206572508</td>
                                                <td>114564</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>127666.3694158992</td>
                                                        <td>106167.85000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>820.5677789286834</td>
                                                        <td>6970.5425770467145</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>127282.33187391658</td>
                                                        <td>102905.53565337871</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>128050.40695788182</td>
                                                        <td>109430.16434662133</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>127744.73544556183</td>
                                                        <td>104271.05</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>483.7176016089438</td>
                                                        <td>7426.36020130142</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>127518.34863936996</td>
                                                        <td>100795.4064385274</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>127971.12225175371</td>
                                                        <td>107746.69356147261</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>127587.02523212526</td>
                                                        <td>102261.15000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>422.0778866072767</td>
                                                        <td>6242.406218548132</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>127389.48670056179</td>
                                                        <td>99339.61395899419</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>127784.56376368874</td>
                                                        <td>105182.68604100583</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7034424779500255</td>
                                                                            <td>0.2789623535712268</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                            <td>0.7034424779500255</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7154441738372237</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                                            <td>0.2789623535712268</td>
                                                                            <td>0.7154441738372237</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.spam.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.spam.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.spam.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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                datasets = [{"label":"ClaransTest","data":[{"x":2.0E8,"y":127587.02523212526}]},{"label":"SimulatedAnnealingTest","data":[{"x":2.0E8,"y":127744.73544556183}]},{"label":"HeuristicTest","data":[{"x":2.0E8,"y":127666.3694158992}]}];
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